Challenge #1 – platform architectures change rapidly

The dynamic landscape of platform architectures poses both opportunities and challenges for data engineers. As systems and technologies rapidly evolve, there’s a pressing need for professionals in the field to stay abreast of these changes. Adapting to these shifts is not merely about understanding the newest tools or frameworks; it’s about foreseeing potential bottlenecks, ensuring system compatibility, and optimizing processes to accommodate these evolutions. Moreover, these frequent changes compel data engineers to embrace a continuous learning mindset, ensuring that their skills and knowledge remain relevant in an ever-shifting landscape.

In this section, you will learn about systemic changes in platform architectures in the last two decades, such as the move from SQL to NoSQL, the rise of big data, and the migration to the cloud. Please refer to Figure 2.2:

Figure 2.2 –...